Remote WEKA Data Platform Administrator - Cloud AI Infra

WEKA; Oregon; Ibrido; USD 120.000 - 170.000; Tempo pieno

Descrizione del lavoro

WEKA is seeking a Data Platform Administrator for Premium Services to manage the data infrastructure for AI workloads. You will operate, tune, and scale WEKA deployments for cloud customers, ensuring reliability, performance, and compliance across tenants.

You will work with storage, GPUs, networking, and Kubernetes, applying automation with Python, Bash, and Ansible to deliver repeatable runbooks and expedited incident response. Strong collaboration with customer teams is essential.

Competenze

• 10+ years administering enterprise infrastructure at scale, with strong storage experience.
• Deep Linux administration skills in RHEL-family and Ubuntu in distributed environments.
• Hands-on experience with high-speed networking: Ethernet and InfiniBand, RDMA, DNS, ACLs, TCP/IP.
• Working knowledge of Kubernetes and containers, including persistent storage, CSI, and operators.
• Experience operating GPU, HPC, or large cloud infrastructure for external customers or multiple tenants.
• Experience with at least one major cloud: AWS, Azure, Google Cloud, or Oracle Cloud.
• Proficiency in Python, Bash, or Ansible. You automate what you repeat.
• Experience with monitoring and alerting stacks (Prometheus, Grafana, log and metrics tooling).
• Experience with ticketing systems such as Jira, and discipline in major incident management.
• Clear written and verbal communication. You can explain a change to an engineer and to an executive.
• Strong technical writing. Your runbooks work for someone who has never seen the environment.

Mansioni

• Run the WEKA environment day to day: monitoring, health, upgrades, capacity, configuration, and audits.
• Create and manage file systems, tiering to object storage, snapshots, quotas, and protocol configuration (POSIX, NFS, SMB, S3) as tenants onboard and grow.
• Own the operational run state. Keep the environment healthy, documented, and recoverable.
• Execute approved changes to a standard: confirm scope and approval, classify risk, validate, keep a rollback, record the outcome.
• Watch for drift, capacity pressure, and anomalies. Raise them early with a recommended path.
• May involve working directly with the customer's tenants and their platform teams to understand workload storage usage.
• Tune WEKA to fit workloads: filesystem layout, tiering, snapshot policy, quotas, per-tenant QoS.
• Validate and standardize the client layer: GPU node clients, networking, mount options, kubelet policy, CSI driver.
• Onboard new tenants with repeatable procedures; check configuration before production.
• Establish performance baselines; run benchmarks and report changes.
• Find scaling limits before customers do: client counts, process ceilings, NAT and routing behavior.
• Build and maintain customer runbooks and automation with Python, Bash, and Ansible.
• Prepare handovers and backup briefs before time off or coverage changes.
• Explain procedures and decisions to customer operators to empower them.

Conoscenze

Linux administration

Kubernetes

Networking

Python

Bash

Ansible

Monitoring

Jira

Technical writing

Strumenti

Prometheus

Grafana

Jira

Descrizione del lavoro

WEKA is seeking a Data Platform Administrator for Premium Services to manage the data infrastructure for AI workloads. You will operate, tune, and scale WEKA deployments for cloud customers, ensuring reliability, performance, and compliance across tenants.

You will work with storage, GPUs, networking, and Kubernetes, applying automation with Python, Bash, and Ansible to deliver repeatable runbooks and expedited incident response. Strong collaboration with customer teams is essential.